Meta
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Software Engineering Manager, Recommendation Systems

Location
Sunnyvale, CA · On-site
Job type
Full-time
Level
Lead / Staff
Experience
4+ years
Listed
13 days ago

Skills & highlights for this role

  • Software engineering
  • Recommendation systems
  • Ranking systems
  • Machine learning infrastructure
  • Team management
  • Technical decision-making
  • Cross-functional collaboration
  • Engineering efficiency optimization

Also useful

  • Distributed training
  • Model serving infrastructure
  • Real-time feature computation
  • Experimentation frameworks
  • Large-scale personalization systems
  • Mentorship and talent development

About the role

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Meta is looking for a Software Engineering Manager to lead a team building and advancing recommendation systems that power personalized experiences for billions of people across Meta's family of apps. In this role, you will drive the technical strategy and execution of ranking, retrieval, and recommendation infrastructure, partnering closely with product, data science, and infrastructure teams to deliver high-impact improvements to relevance, engagement, and user satisfaction at massive scale.

Software Engineering Manager, Recommendation Systems Responsibilities

  • Lead a team of engineers building and optimizing recommendation and ranking systems across retrieval, scoring, and re-ranking stages
  • Drive roadmap creation for recommendation infrastructure, balancing near-term delivery with long-term technical investments
  • Contribute hands-on to technical decisions, including system architecture, model serving pipelines, and feature engineering frameworks
  • Partner with data science, product, and infrastructure teams to align recommendation system development with business and product goals
  • Identify and resolve bottlenecks in recommendation quality, latency, and engineering efficiency, including oncall load and technical debt
  • Set clear goals and expectations for team members, provide timely and actionable feedback, and actively develop engineers' technical capabilities
  • Manage staged rollouts and experimentation frameworks to evaluate recommendation changes and measure impact on key engagement metrics
  • Communicate team strategy, technical decisions, and progress clearly to engineering peers, product partners, and leadership
  • Proactively identify opportunities for automation and tooling improvements that expand the team's scope and efficiency
  • Participate in recruiting, onboarding, and org-level contributions to strengthen the broader recommendation systems engineering community

Minimum Qualifications

  • 4+ years of experience in software engineering working on recommendation systems, ranking, or related machine learning infrastructure
  • 2+ years of experience managing software engineering teams, including setting goals, providing feedback, and driving team execution
  • Experience contributing hands-on to technical decisions in recommendation or ranking systems, including architecture, feature pipelines, or model serving
  • Experience driving cross-functional collaboration with product, data science, and infrastructure partners to deliver measurable outcomes
  • Experience identifying and resolving engineering efficiency issues such as technical debt, oncall burden, or system scalability constraints

Preferred Qualifications

  • Familiarity with distributed training, model serving infrastructure, or real-time feature computation in the context of recommendation systems
  • Experience using experimentation frameworks to measure and iterate on recommendation quality and engagement metrics
  • Experience leading teams that have shipped large-scale recommendation or personalization systems from inception to production impact
  • Track record of growing engineers' technical skills and expanding team scope through effective delegation and mentorship

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About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $184,000/year to $257,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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Read the original posting

From Meta's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Software Engineering Manager, Recommendation Systems job at Meta located?

This Software Engineering Manager, Recommendation Systems position at Meta is located in Sunnyvale, CA (On-site). Always check Meta's application page for specific state eligibility or relocation policies.

What qualifications are required for Software Engineering Manager, Recommendation Systems at Meta?

For the Software Engineering Manager, Recommendation Systems role, Meta highlights 4+ years of relevant experience; experience with Software engineering, Recommendation systems, Ranking systems, Machine learning infrastructure, Team management, Technical decision-making. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Software Engineering Manager, Recommendation Systems position at Meta?

This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.